English | 简体中文
Many people, the first time they use AI to help them create something, share the same feeling: what comes out looks fine, but it isn't quite what they had in mind.
Where does the problem lie? Not that AI isn't powerful enough — but that we've misunderstood the role AI plays in creation.
English | 简体中文
For a long stretch of software engineering history, the division of labor has been horizontal.
A feature traveled from idea to launch through an assembly line: product manager → designer → frontend → backend → QA. Each role owned only one slice, and information was translated, simplified, and re-translated as it passed through. This system made sense in the past—because the technical barrier was real, and the division of labor was a necessary boundary.
English | 简体中文
In the past, the core of software development was writing code: developers implemented business logic, interfaces, interactions, and algorithms through concrete syntax.
Today, with the continuous evolution of AI coding tools such as Codex, Cursor, Gemini CLI, and Claude Code, the developer's focus is shifting from "implementing features" to "expressing intent."